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Paper Abstract and Keywords
Presentation 2015-09-02 15:10
Throghput estimation using RGB-D camera and machine learning for mmWave communications
Takayuki Nishio, Hironao Okamoto, Koji Yamamoto, Masahiro Morikura (Kyoto Univ.) CQ2015-70
Abstract (in Japanese) (See Japanese page) 
(in English) In mmWave communications, a frame loss rate increases and throughput is decreased sharply when pedestrians block line-of-sight paths. Such serious human blockage does not occur in microwave communications. To solve the problem, we have proposed an RGB and depth (RGB-D) camera based millimeter-wave (mmWave) communication environment prediction and a proactive communication control system using the prediction results. By using the RGB-D camera, we can predict or estimate a change of mmWave environment such as human blockage easily since the cameras can detect obstacles and their mobility. In this paper, we propose a method which estimates a mmWave communication quality such as throughput and signal strength from an RGB-D image. The proposed method employs supervised learning and leverages communication log for the supervised learning. We implement a prototype of the proposed method and our experimental results show that accuracy of the proposed method achieves to 79.1%.
Keyword (in Japanese) (See Japanese page) 
(in English) mmWave / 60 GHz / RGB-D Camera / communication quality estimation / machine learning / IEEE 802.11ad / WiGig / Kinect  
Reference Info. IEICE Tech. Rep., vol. 115, no. 206, CQ2015-70, pp. 179-184, Sept. 2015.
Paper # CQ2015-70 
Date of Issue 2015-08-25 (CQ) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2015-70

Conference Information
Committee CQ  
Conference Date 2015-09-01 - 2015-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2015-09-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Throghput estimation using RGB-D camera and machine learning for mmWave communications 
Sub Title (in English)  
Keyword(1) mmWave  
Keyword(2) 60 GHz  
Keyword(3) RGB-D Camera  
Keyword(4) communication quality estimation  
Keyword(5) machine learning  
Keyword(6) IEEE 802.11ad  
Keyword(7) WiGig  
Keyword(8) Kinect  
1st Author's Name Takayuki Nishio  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Hironao Okamoto  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Koji Yamamoto  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Masahiro Morikura  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-2 
Date Time 2015-09-02 15:10:00 
Presentation Time 20 minutes 
Registration for CQ 
Paper # CQ2015-70 
Volume (vol) vol.115 
Number (no) no.206 
Page pp.179-184 
#Pages 6 
Date of Issue 2015-08-25 (CQ) 

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